Site Reliability Engineer
GoodleapSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, AI, Cloud Infrastructure, DevOpsIndustries
Requirements
Candidates should have a Bachelor's degree in Computer Science, Information Technology, or a related field. They must possess 3-5 years of hands-on experience with AWS and/or Azure cloud platforms, including services like EC2, S3, VPC, and Lambda. Additionally, 2-3 years of experience managing Kubernetes clusters in production environments, using Helm for Kubernetes package management, and with Datadog or similar monitoring tools is required. Proficiency in scripting languages such as Bash and Python, along with 3-5 years of experience in Linux system administration and shell scripting, is also necessary. Familiarity with Infrastructure as Code (IaC) tools like Terraform and a strong understanding of networking fundamentals, including TCP/IP, DNS, and load balancing, are essential.
Responsibilities
The Site Reliability Engineer will design, deploy, and maintain cloud infrastructure on AWS and/or Azure, ensuring high availability and resilience. They will implement and manage monitoring solutions using Datadog to proactively identify and address system issues. The role includes managing Kubernetes clusters and utilizing Helm for package management and deployment automation. The engineer will develop and maintain Infrastructure as Code (IaC) using tools like Terraform, create automation scripts in Bash or Python, and collaborate closely with development and operations teams to propagate DevOps culture. They will troubleshoot and resolve complex cross-platform issues related to OS, networking, and databases in a cloud-based environment, and maintain comprehensive documentation of system configurations, procedures, and troubleshooting guides.
Skills
AWS
Azure
EC2
S3
VPC
Lambda
Kubernetes
Helm
Datadog
Linux
Shell Scripting
Terraform
Python
Bash
Rogo
Generative AI platform for financial institutions
About Rogo
Rogo provides a secure generative AI platform tailored for elite financial institutions, including investment banks, hedge funds, and asset management companies. The platform utilizes advanced large language models to search, analyze, and cite millions of documents, significantly reducing the time spent on manual research. This allows junior team members to focus on more valuable tasks while enabling executives to quickly access critical information. Rogo's business model centers on customizing its AI solutions to meet the specific needs of each client, ensuring that the platform understands the unique language and data of their operations. Revenue is generated through subscription fees and additional services like customization and support. The main goal of Rogo is to enhance productivity and decision-making in financial institutions, helping them save time, improve insights, and automate workflows.
New York City, New YorkHeadquarters
2021Year Founded
$29.2MTotal Funding
SERIES_ACompany Stage
Fintech, AI & Machine LearningIndustries
11-50Employees